Not all MMM tools are equal: Meridian, Robyn, Orbit, and Prophet explained

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
IEEE

SparseTSF: Lightweight and Robust Time Series Forecasting via Sparse Modeling

Abstract: This paper introduces SparseTSF, a novel and extremely lightweight method for Long-term Time Series Forecasting (LTSF), designed to address the challenges of modeling complex temporal ...
on3

Dr. Partrick Staropoli signs full-time NASCAR O'Reilly Series deal with Big Machine Racing

A rather big surprise, as Dr. Patrick Staropoli has been selected as the driver for the No. 48 Big Machine Racing Chevrolet. He will replace Nick Sanchez, who had quite a rookie season, including a ...
IEEE

Time Series and Machine Learning Methods for Short-Term Load Forecasting in Modern Power Systems

Abstract: Accurate load forecasting is crucial for modern power systems but faces challenges like data scarcity, tool limitations, and lack of institutional support. Inaccurate forecasts lead to ...